Hybrid Attention-Based Encoder–Decoder Fully Convolutional Network for PolSAR Image Classification

Hybrid Attention-Based Encoder–Decoder Fully Convolutional Network for PolSAR Image Classification

Recently, methods based on convolutional neural networks (CNNs) achieve superior performance in polarimetric synthetic aperture radar (PolSAR) image classification. However, the current CNN-based classifiers follow patch-based frameworks, which need input images to be divided into overlapping patche...

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Bibliographic Details
Main Authors: Zheng Fang, Gong Zhang, Qijun Dai, Biao Xue, Peng Wang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
polarimetric synthetic aperture radar (PolSAR)
image classification
fully convolutional neural network (FCN)
self-attention
receptive field
Online Access:https://www.mdpi.com/2072-4292/15/2/526

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